NYC Department of Finance (DOF) is responsible for administering the tax revenue laws of the city fairly, efficiently, and transparently to instill public confidence and encourage compliance while providing exceptional customer service.
The Finance Information Technology (FIT) Division designs, builds, and supports all facets of DOF’s computer systems, including hardware, software, applications, infrastructure, telephone, and data security. FIT delivers and administers tax-related payment programs for the City of New York by providing the information technology solutions needed to achieve its mission of collecting revenue while ensuring an efficient and improved customer experience. FIT is also responsible for the systems and websites which enable citywide payments, land records, property assessment, parking adjudications, customer service, and the Sheriff’s public safety work.
Duties and responsibilities will include but are not limited to:
-Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
-Designs the structure and layout of data systems, including databases, warehouses, and lakes.
-Selects and implements database management systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures.
-Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms.
-Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
-Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
-Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
-Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company.
-Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums.
-Defines and manages standards, guidelines, and processes to ensure data quality.
-Evaluates and recommends emerging technologies for data management, storage, and analytics.
-Establishes and manages data governance frameworks to ensure data security, quality, and compliance.
-Lead data migration efforts from legacy systems to modern cloud platforms and define a cloud strategy.
-Build data architecture that supports advanced analytics and prepares data for future integration with GenAI models.
Additional Information:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
IT PROJECT SPECIALIST - 95710
1. A baccalaureate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and four years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
2. An associate degree from an accredited college in computer science, engineering, human computer interaction, interactive media, digital and graphics design, data visualization, communication or a related field, and six years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
3. A baccalaureate degree from an accredited college, and eight years of satisfactory full-time experience related to the area(s) required by the particular position and a specialization in a relevant technology, process, methodology and/or domain; or
4. Education and/or experience which is equivalent to "1", "2", or "3" above.
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
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Are you ready to take your data skills to the next level? Join the NYC Department of Finance (DOF) as a Data Architect in the bustling heart of New York City! Here, you'll be part of a dedicated team within the Finance Information Technology (FIT) Division, where we design and support crucial computer systems that enable NYC to administer its tax revenue laws efficiently and transparently. In this role, you'll dive into the exciting world of data architecture, where you'll interpret and implement strategic plans that enhance data integration and quality. Your creativity will shine as you design the structure and layout of data systems, including databases and data lakes, ensuring a solid foundation for our analytics and operations. You’ll be selecting database management systems, optimizing data storage, and implementing security measures that are integral to our mission. Plus, you’ll have the opportunity to collaborate with various teams, translating high-level business requirements into functional data models while leading exciting projects around data migration to cloud platforms. Your leadership skills will come into play as you engage with senior business stakeholders and guide governance forums, ensuring that everything aligns with DOF’s long-term strategic objectives. With the blend of technology, stakeholder management, and advanced data analytics, this opportunity is not just a job; it's a chance to impact how the City of New York operates. Come and be part of the transformation in managing the city's data landscape!
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